Instructions to use gallerywise/coreml-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gallerywise/coreml-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gallerywise/coreml-embeddings") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d757473ba02362eba2ca9f6a2b4a7e91a6bc49f0316ec1c8d9e8ec6d6732109f
- Size of remote file:
- 171 MB
- SHA256:
- 5a6423be29a8fe14b485af43c08aea767c712c5980d903452f3afa7f3e569930
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